Object Detection on M3FD-IR (test)
56.9mAPUNIV(LoRA)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UNIV(LoRA)Pre-train Dataset=IN1K+MVIP, Total Params(M)=88.7, Pre-train Params(M)=1.82025.09 | 56.9 | 88.7 | |
| MCMAEPre-train Dataset=IN1K, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 56.6 | 88.5 | |
| InfMAEPre-train Dataset=Inf30, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 56.2 | 88.1 | |
| UNIV(Full)Pre-train Dataset=IN1K+MVIP, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 56.2 | 88.4 | |
| MCMAEPre-train Dataset=Inf30, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 55.7 | 88.4 | |
| Vanila MAEPre-train Dataset=Inf30, Total Params(M)=85.8, Pre-train Params(M)=85.82025.09 | 51.4 | 83.4 | |
| InfMAEPre-train Dataset=None, Total Params(M)=88.7, Pre-train Params(M)=-2025.09 | 48.7 | 80 | |
| DETRPre-train Dataset=None, Total Params(M)=60.0, Pre-train Params(M)=-2025.09 | 46.7 | 79 | |
| DINOPre-train Dataset=None, Total Params(M)=85.0, Pre-train Params(M)=-2025.09 | 45.3 | 75.3 | |
| YoloV8Pre-train Dataset=None, Total Params(M)=46.0, Pre-train Params(M)=-2025.09 | 40.8 | 63 | |
| FastRCNNPre-train Dataset=None, Total Params(M)=44.6, Pre-train Params(M)=-2025.09 | 25.2 | 45.6 |